EXL Logo

EXL

AI Business Development Leader

Reposted 12 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead go‑to‑market and close enterprise deals for AI/GenAI healthcare solutions across payers, providers, PBMs, and life sciences. Own revenue targets, shape solutions with architects and product teams, run POCs and demos, craft proposals and pricing, and present ROI/value to CXO stakeholders.
The summary above was generated by AI

We are seeking a Healthcare AI Business Development Leader to drive growth for our AI, GenAI, and agentic AI solutions across healthcare payers, providers, PBMs, and life sciences organizations. This role owns the end‑to‑end commercial lifecycle—from identifying high‑value AI opportunities and shaping demand, to solutioning, proposal development, and deal closure.

The ideal candidate brings deep healthcare domain knowledge, strong AI solution fluency, and the ability to translate complex AI capabilities into clear business value, ROI, and transformation narratives for executive stakeholders.

Responsibilities

Business Development & Revenue Growth

  • Own revenue targets for AI and GenAI‑driven healthcare solutions.
  • Identify, qualify, and develop new opportunities across payer, provider, PBM, and life sciences clients.
  • Build and execute account growth strategies, including whitespace analysis and expansion plays.
  • Develop strong, trusted relationships with CXO, EVP, and VP‑level stakeholders.

AI Solution Selling & Value Storytelling

  • Position AI, GenAI, RAG, and agentic AI solutions aligned to healthcare business problems such as:
    • Prior authorization & utilization management
    • Claims & payment integrity
    • Care management & clinical operations
    • Member and provider engagement
    • Clinical document processing and summarization
  • Translate AI capabilities into measurable business outcomes (cost reduction, productivity, quality, compliance, revenue uplift).
  • Lead executive presentations, POVs, workshops, and roadmap discussions.

Solution Shaping & Deal Closure

  • Partner with AI Solution Architects, Product, and Delivery teams to shape differentiated solutions.
  • Lead proposal responses, RFPs/RFIs, pricing models, and SOW structures (T&M, fixed price, outcome‑based where applicable).
  • Drive POCs, pilots, and demos to accelerate deal conversion.
  • Own commercial negotiations and drive deals to closure.

Market & Ecosystem Engagement

  • Stay current on healthcare AI trends, regulations, and market movements.
  • Collaborate with cloud and technology partners (e.g., hyperscalers, AI platform vendors).
  • Contribute to go‑to‑market assets, solution collateral, and thought leadership.
Qualifications

Required Qualifications Healthcare Domain Expertise

  • Strong understanding of healthcare workflows, including payer and provider operations.
  • Familiarity with healthcare data, regulatory, and compliance considerations (HIPAA, PHI/PII).
  • Experience selling solutions into health plans, health systems, PBMs, or life sciences organizations.

AI & Analytics Acumen

  • Solid understanding of AI / ML / GenAI concepts (no coding required, but solution fluency is essential).
  • Experience positioning solutions involving:
    • LLMs and generative AI
    • Intelligent document processing
    • Analytics‑driven decision support
  • Ability to articulate AI architecture at a high level and connect it to business value.

Commercial & Client Skills

  • Proven ability to own and close large, complex deals.
  • Strong executive communication and storytelling skills.
  • Experience working with cross‑functional teams (architecture, data science, engineering, delivery).
  • Comfortable in ambiguity and fast‑evolving AI landscapes.

Similar Jobs

14 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
158K-225K Annually
Senior level
158K-225K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Build and operate production LLM-powered agents and machine learning systems for customer risk identification and threat detection. Translate security heuristics into agent logic, collaborate with threat researchers, develop data requirements and pipelines, evaluate precision and recall, and deploy solutions through CI/CD. The role also requires production reliability ownership, observability, incident debugging, cloud infrastructure expertise, and senior staff-level technical leadership.
Top Skills: AthenaAWSCi/CdDockerElasticsearchLangchainLanggraphLlm AgentsNumpyOpensearchPandasPolarsPrestoPythonSQL
14 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
116K-165K Annually
Senior level
116K-165K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Develop production LLM-powered agents and machine learning solutions for customer risk identification and threat detection. Translate threat-research methods into agent logic, build data requirements and pipelines, evaluate precision and recall, backtest and tune models, and deploy and monitor reliable solutions using CI/CD. Collaborate with threat researchers and data engineers while addressing production reliability, observability, data quality, cost, latency, and accuracy.
Top Skills: AthenaAWSCi/CdContainerizationElasticsearchInfrastructure As CodeLangchainLanggraphLlmsMachine LearningNumpyOpensearchPandasPolarsPrestoPythonSQL
22 Minutes Ago
Remote or Hybrid
105K-173K Annually
Senior level
105K-173K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns and operates a scaled digital customer success program for mid-market SaaS customers from onboarding through renewal. Designs lifecycle campaigns, adoption plays, automated risk interventions, segmentation, health scores, and customer journeys. Partners with CSMs, Product, Marketing, and CS Operations to improve adoption, retention, customer health, and revenue outcomes. Builds dashboards, analyzes customer behavior, leverages AI and automation, and translates insights into scalable customer engagement actions.
Top Skills: AIAutomationCrm SystemsCustomer Success PlatformsMarketing Automation ToolsSaaS

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account